Triple
T22265706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gap |
E550343
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Gap Inc. |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gap Inc. | Statement: [Gap, ownedBy, Gap Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gap Inc. Context triple: [Gap, ownedBy, Gap Inc.]
-
A.
Gap Inc.
chosen
Gap Inc. is a major American clothing and accessories retailer best known for its casual apparel brands such as Gap, Old Navy, Banana Republic, and Athleta.
-
B.
Fast Retailing
Fast Retailing is a Japanese multinational retail holding company best known as the owner and operator of the global clothing brand Uniqlo.
-
C.
The Gap
The Gap is a popular American clothing and accessories retail chain known for its casual, modern apparel for men, women, and children.
-
D.
The Gap
The Gap is a dramatic ocean cliff lookout in Sydney, Australia, known for its sweeping coastal views and rugged sandstone formations.
-
E.
The Gap
The Gap is a residential suburb in Brisbane, Queensland, known for its leafy streets, hilly terrain, and proximity to bushland and walking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bb850881908f5e9c37afb52ca8 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.